Skip to main content

A library provides integration between Domain Knowledge and Deep Learning.

Project description

The library allows to specify a problem domain with a conceptual graph including declarations of edges and nodes, as well as logical constraints on the graph concepts and relations. Neural network outputs bounded to the graph edges and nodes. The logical constraints are conveted to ILP and Gurobi Solver is used for inferencing. This adds a relational overlay over elements in a network that relates physical concepts in applications.

The example runing in Google colab environment, presenting the usage of the libarary is here.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

DomiKnowS-0.217.tar.gz (136.1 kB view details)

Uploaded Source

File details

Details for the file DomiKnowS-0.217.tar.gz.

File metadata

  • Download URL: DomiKnowS-0.217.tar.gz
  • Upload date:
  • Size: 136.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.4

File hashes

Hashes for DomiKnowS-0.217.tar.gz
Algorithm Hash digest
SHA256 300ef728a906595a2db6a129814890a70ee7e2d23261a0b2adb23294df91fa41
MD5 c0cd763f2cde331eec08bda54e3cf4af
BLAKE2b-256 c8edf833708690ea5279419bdd36f91eb86d1ca665ee364f22ecbb17baf3ab8d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page